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Critical Competitive Advantage: Design, Speed, Cost and Flexibility Using AI, ML, & Robotics
February 17 @ 4:00 pm - 6:00 pm EST
How Artificial Intelligence (AI), Machine Learning (ML), and Robotics Are Rapidly Advancing The Medical Device Industry – Why AI, ML & Robotics? – What product development strategies optimally combine AI, ML, & Robotics? – How can the tsunami of data be coherently managed and acted upon for patient care with these tools? – How can you determine if your medical device system is providing key, accurate data in a timely and clinically actionable form?
Feb 17, 2021
4:00 – 6:00 PM (EDT)
Critical Competitive Advantage
Design, Speed, Cost and Flexibility Using AI, ML, & Robotics – And Not Just For Covid
Learn How Artificial Intelligence (AI), Machine Learning (ML), and Robotics Are Rapidly Advancing The Medical Device Industry
SPEED IS NOW A KEY DRIVER
- Why AI, ML, & Robotics are essential for speed, quality, & improved results?
- What product development strategies optimally combine AI, ML, & Robotics?
- How can the tsunami of data be coherently managed and acted upon for patient care with these tools?
- How can you determine if your medical device system is providing key, accurate data in a timely and clinically actionable form?
Wed, Feb 17, 4:00 – 6:00pm (EST)
4:00 – 4:30 General Networking
4:30 – 5:30 Panelist Presentations
5:30 – 6:00 ‘Meet the Speakers’ & More Networking
The FDA is very interested & listening
This Forum addresses how AI, ML, & robotics are rapidly and effectively addressing critical medical needs in clinical care and personal medicine.
Clinical practice often requires quickly discerning patient status–more and more from extraordinary amounts of data needed to make accurate medical diagnoses & decisions. Digital health often means ‘online exams’ & telemetry-based monitoring as part of critical care–these are not traditional office visits.
The need for speed, accuracy, and cost are heavily impacting both health professional and patient lives, especially as we combat COVID-19–one major example–but every day care also.
Clinical trials are also more virtual, held both in traditional facilities and patient homes, and have their own massive amounts of data from devices.
We are in the Early Stages of this Sea Change in All Aspects of Medical Care
Liz develops software solutions for the medical device and robotics industries with a focus on security, reliability, and ease-of-use.
Topic: The ABC’s of AI, ML, and Digital Products.
Chris brings a wide range of software and hardware development experience to industrial communications, IoT technologies, and consumer products.
Topic: How to test, evaluate and be sure you have what you need.
The majority of her clinical research focus is especially with Veterans struggling with pain, sleep, and mental health concerns.
Topic: Case history from the Front Lines–using Jibo Robots to help treat the mental health needs of veterans.
Geisel Software is a team of embedded device software engineers and app developers who are leaders in the Internet of Things Confluence. They focus on building secure, reliable connections between devices & users.